LEADER 02129nam 2200397 n 450 001 996390784503316 005 20200824121809.0 035 $a(CKB)4940000000106270 035 $a(EEBO)2240880000 035 $a(UnM)99859258e 035 $a(UnM)99859258 035 $a(EXLCZ)994940000000106270 100 $a19850530d1643 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe key of the Revelation, searched and demonstrated out of the naturall and proper charecters of the visions$b[electronic resource] $eWith a coment thereupon, according to the rule of the same key, /$fpublished in Latine by the profoundly learned Master Joseph Mede B.D. late fellow of Christs College in Cambridge, for their use to whom God hath given a love and desire of knowing and searching into that admirable prophecie. Translated into English by Richard More of Linley in the Countie of Salop. Esquire, one of the Bargesses in this present convention of Parliament. With a præface written by Dr Twisse now prolocutor in the present Assembly of Divines 210 $aPrinted at London $cby R.B. for Phil Stephens, at his shop in Pauls Church-yard at the signe of the gilded Lion$d1643 215 $a[20], 133 [i.e. 123], [1], 135, [9] p., 1 fold. plate $cill 300 $aTranslation of: Clavis apocalyptica. 300 $aAnnotation on Thomason copy: "Sept: 27th". 300 $aPage 123 [1st count] is misnumbered 133. 300 $aF.L. = A compendium of Mr. Mede's commentary upon the Revelation containing two prophesies. 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 700 $aMede$b Joseph$f1586-1638.$01002072 701 $aMore$b Richard$fd. 1643.$01004306 701 $aTwisse$b William$f1578?-1646.$01001634 712 02$aEngland and Wales.$bParliament. 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996390784503316 996 $aThe key of the Revelation, searched and demonstrated out of the naturall and proper charecters of the visions$92306863 997 $aUNISA LEADER 05429nam 2200697 a 450 001 9910969328203321 005 20240313233226.0 010 $a9789027272362 010 $a9027272360 024 7 $a10.1075/la.203 035 $a(CKB)2560000000105301 035 $a(EBL)1213060 035 $a(SSID)ssj0000892937 035 $a(PQKBManifestationID)11488027 035 $a(PQKBTitleCode)TC0000892937 035 $a(PQKBWorkID)10905026 035 $a(PQKB)11478980 035 $a(MiAaPQ)EBC1213060 035 $a(Au-PeEL)EBL1213060 035 $a(CaPaEBR)ebr10720585 035 $a(CaONFJC)MIL498637 035 $a(OCoLC)851078444 035 $a(DE-B1597)720938 035 $a(DE-B1597)9789027272362 035 $a(EXLCZ)992560000000105301 100 $a20130111d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe syntax of Tuki $ea cartographic approach /$fEdmond Biloa 205 $a1st ed. 210 $aAmsterdam $cJohn Benjamins Pub. Co.$d2013 215 $a1 online resource (637 p.) 225 1 $aLinguistik aktuell/Linguistics today,$x0166-0829 ;$vv. 203 300 $aDescription based upon print version of record. 311 08$a9789027255860 311 08$a9027255865 320 $aIncludes bibliographical references and indexes. 327 $aThe Syntax of Tuki; Editorial page; Title page; LCC data; Dedication page; Table of contents; Foreword; Acknowledgements; Abbreviations; Introduction; 1.0 Theoretical framework; 1.1 The starting point; 1.2 The uniformity of syntactic structures; 1.3 Substitution vs Adjunction; 1.4 Cartography and minimalism; 1.5 Current trends in the cartographic approach; 1.6 A Cartography of subject positions; 1.7 The computational system and the architecture of the grammar; 1.8 Feature theory and movement; 1.9 The syntax - Information structure interface; 1.10 Motivation for the present study 327 $a1.11 Organization of the book Clause structure; 2.1 The language: Tuki; 2.2 Earlier descriptions of Tuki grammar; 2.3 The classification of nouns; 2.4 Types of nominal forms; 2.5 Secondary prefixes; 2.6 Verb morphology; 2.6.1 Tense and Aspect; 2.6.2 Verbs; 2.6.2.1 Verb prefixes; 2.6.3 Reflexivization; 2.6.4 Verb suffixes; 2.6.5 Reciprocals; 2.6.6 Causative verbs; 2.6.7 Subject markers; 2.6.8 Object markers; 2.7 Basic word order; 2.8 The internal structure of infl [+ tense]; 2.8.1 Word Order in Tensed Clauses; 2.8.2 The structure of the Tuki verb; 2.8.2.1 Verb Structure 327 $a2.9 Well- formedness of a zero subject 2.9.1 The Resumption Test; 2.9.2 The Emex Condition; 2.9.3 pro and the Pronominal Argument Hypothesis; 2.9.4 Identification of a zero subject; 2.9.5 That- Trace Effects in Tuki; 2.10 Wh- movement; 2.11 Predicate Cleft Constructions; 2.12 Simple sentences; 2.13 The complex sentence; 2.14 Formal indicators of coordination; 2.15 Formal indicators of subordination; 2.16 Question formation; 2.17 Dependent yes-no Independent clause; 2.18 Focalization; 2.19 Relativization; 2.20 Topicalization; 2.21 Resumptive pronouns; 2.22 Anaphora and Binding 327 $aThe order of clausal functional heads 3.0 Introduction; 3.1 Tense; 3.1.1 Past one (P1); 3.1.2 Past two (P2); 3.1.3 Past three (P3); 3.1.4 Present (P0); 3.1.5 The future one (F1); 3.2 The future two (F2); 3.3 Aspect; 3.3.1 The habitual aspect; 3.3.2 The retrospective aspect; 3.3.3 Continuative /roo/, Terminative /dzu?/; 3.3.4 The progressive aspect; 3.3.5 The semelrepetitive aspect; 3.3.6 The anterior aspect; 3.3.7 The incompletive and completive aspects; 3.3.8 The attenuative aspect; 3.3.9 The repetitive (iterative) aspect; 3.3.10 The quantitative aspect 327 $a3.4 Co-occurrence restrictions of tense and aspect 3.4.1 T (Past) > Modeepistemic; 3.4.2 Asphabitual > AspAnterior > Aspcompletive; 3.4.3 AspContinuative > Aspanterior; 3.4.4 Aspterminative > Aspanterior; 3.4.5 Aspretrospective > Aspperfect; 3.4.6 Asp retrospective > Aspprogressive; 3.4.7 Aspprogressive > Aspprospective; 3.4.8 Aspprogressive > Aspsemeliterative; 3.4.9 Aspprospective > Aspcompletive; 3.5 Modality; 3.6 The interpretation of modality; 3.6.1 Root modality; 3.6.2 Epistemic modality; 3.7 The order of clausal functional heads in Tuki; Adverbs; 4.0 Introduction 327 $a4.1 Guglielmo Cinque's hierarchy 330 $aThis monograph conducts a syntactic study of Tuki, a Bantu language spoken in Cameroon, from a cartographic perspective. The following domains are meticulously explored: The Complementizer Domain, the Inflectional Domain and the Verbal Domain. This study reveals that there is a relative phrase (RelP) located between ForceP and FocP. Moreover, a detailed analysis of an articulated IP provides the order of clausal functional heads that manifest aspectual morphology, which is theoretically closely related to issues in adverbial syntax. Additionally, the language under study unveils a very rich 410 0$aLinguistik aktuell ;$vBd. 203. 606 $aTuki language$xSyntax 606 $aTuki language$xGrammar 615 0$aTuki language$xSyntax. 615 0$aTuki language$xGrammar. 676 $a496/.397 700 $aBiloa$b Edmond$0321079 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910969328203321 996 $aThe syntax of Tuki$94347021 997 $aUNINA LEADER 07611nam 22008295 450 001 9910483826303321 005 20251226203713.0 010 $a3-540-46493-X 024 7 $a10.1007/11893318 035 $a(CKB)1000000000283815 035 $a(SSID)ssj0000317236 035 $a(PQKBManifestationID)11208008 035 $a(PQKBTitleCode)TC0000317236 035 $a(PQKBWorkID)10288944 035 $a(PQKB)10533197 035 $a(DE-He213)978-3-540-46493-8 035 $a(MiAaPQ)EBC3068524 035 $a(PPN)123139058 035 $a(EXLCZ)991000000000283815 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDiscovery Science $e9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings /$fedited by Nada Lavra?, Ljupco Todorovski, Klaus P. Jantke 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XIV, 386 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4265 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-46491-3 320 $aIncludes bibliographical references and index. 327 $aInvited Papers -- e-Science and the Semantic Web: A Symbiotic Relationship -- Data-Driven Discovery Using Probabilistic Hidden Variable Models -- Reinforcement Learning and Apprenticeship Learning for Robotic Control -- The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods -- Spectral Norm in Learning Theory: Some Selected Topics -- Long Papers -- Classification of Changing Regions Based on Temporal Context in Local Spatial Association -- Kalman Filters and Adaptive Windows for Learning in Data Streams -- Scientific Discovery: A View from the Trenches -- Optimal Bayesian 2D-Discretization for Variable Ranking in Regression -- Text Data Clustering by Contextual Graphs -- Automatic Water Eddy Detection in SST Maps Using Random Ellipse Fitting and Vectorial Fields for Image Segmentation -- Mining Approximate Motifs in Time Series -- Identifying Historical Period and Ethnic Origin of Documents Using Stylistic Feature Sets -- A New Family of String Classifiers Based on Local Relatedness -- On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets -- Mining Sectorial Episodes from Event Sequences -- A Voronoi Diagram Approach to Autonomous Clustering -- Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations -- Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data -- Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases -- Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts -- Analysis of Linux Evolution Using Aligned Source Code Segments -- Rule-Based Prediction of Rare Extreme Values -- A Pragmatic Logic of Scientific Discovery -- Change Detection with Kalman Filter and CUSUM -- Automatic Recognition of Landforms on MarsUsing Terrain Segmentation and Classification -- A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms -- Model-Based Estimation of Word Saliency in Text -- Regular Papers -- Learning Bayesian Network Equivalence Classes from Incomplete Data -- Interesting Patterns Extraction Using Prior Knowledge -- Visual Interactive Subgroup Discovery with Numerical Properties of Interest -- Contextual Ontological Concepts Extraction -- Experiences from a Socio-economic Application of Induction Trees -- Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA) -- Symmetric Item Set Mining Based on Zero-Suppressed BDDs -- Mathematical Models of Category-Based Induction -- Automatic Construction of Static Evaluation Functions for Computer Game Players -- Databases Reduction Simultaneously by Ordered Projection -- Mapping Ontologies in an Air Pollution Monitoring and Control Agent-Based System -- Information Theory and Classification Error in Probabilistic Classifiers -- Checking Scientific Assumptions by Modeling -- Incremental Algorithm Driven by Error Margins -- Feature Construction and ?-Free Sets in 0/1 Samples -- Visual Knowledge Discovery in Paleoclimatology with Parallel Coordinates -- A Novel Framework for Discovering Robust Cluster Results -- Gene Selection for Classifying Microarray Data Using Grey Relation Analysis. 330 $aThe 9th International Conference on Discovery Science (DS 2006) was held in Barcelona, Spain, on 7?10 October 2006. The conference was collocated with the 17th International Conference on Algorithmic Learning Theory (ALT 2006). The two conferences shared the invited talks. This LNAI volume, containing the proceedings of the 9th International C- ference onDiscoveryScience, is structured in three parts. The ?rstpart contains the papers/abstracts of the invited talks, the second part contains the accepted long papers, and the third part the accepted regular (short) papers. Out of 87 submitted papers, 23 were accepted for publication as long papers, and 18 as regular papers. All the submitted papers were reviewed by two or three ref- ees. In addition to the presentations of accepted papers, the DS 2006 conference program consisted of three invited talks, two tutorials, the collocated ALT 2006 conference and the Pascal Dialogues workshop. We wish to express our gratitude to ? the authors of submitted papers, ? the program committee and other referees for their thorough and timely paper evaluation, ? DS 2006 invited speakers Carole Goble and Padhraic Smyth, as well as - drew Ng as joint DS 2006 and ALT 2006 invited speaker, ? invited tutorial speakers Luis Torgo and Michael May, ? the local organization committee chaired by Ricard Gavalda, ` ? DS 2006 conference chair Klaus P. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4265 606 $aScience$xPhilosophy 606 $aArtificial intelligence 606 $aDatabase management 606 $aInformation storage and retrieval systems 606 $aInformation technology$xManagement 606 $aSocial sciences$xData processing 606 $aPhilosophy of Science 606 $aArtificial Intelligence 606 $aDatabase Management 606 $aInformation Storage and Retrieval 606 $aComputer Application in Administrative Data Processing 606 $aComputer Application in Social and Behavioral Sciences 615 0$aScience$xPhilosophy. 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aInformation storage and retrieval systems. 615 0$aInformation technology$xManagement. 615 0$aSocial sciences$xData processing. 615 14$aPhilosophy of Science. 615 24$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aComputer Application in Administrative Data Processing. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a501 701 $aTodorovski$b Ljupc?o$f1969-$01756185 701 $aLavrac?$b Nada$0853929 701 $aJantke$b K. 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